Director, AI Engineer

Reports To: VP, AI Agents & Automation
Team: AI Agents & Automation

Role Summary

We are seeking an Associate Director, AI Engineer to help build the next generation of AI agents at dentsu. This role is a senior technical individual contributor position focused on designing and delivering multi‑agent systems that transform data intelligence into automated, client‑facing workflows.

You will partner closely with the VP of AI Agents & Automation, write production code, set engineering patterns, and collaborate with an offshore engineering team to deliver scalable, reliable AI products. This role blends architectural decision‑making with hands‑on development.

Key Responsibilities

• Design and build multi‑agent systems using LLM orchestration frameworks for client‑facing AI products.
• Implement end‑to‑end AI orchestration use cases for clients, ensuring reliability, maintainability, and high-quality delivery.
• Build agentic wrappers and interfaces around data science models (e.g., MMM, forecasting, incrementality) to support conversational access.
• Configure Genie spaces to enable client data exploration and self‑service analytics.
• Develop reusable agent components, prompt templates, and tool‑use libraries to accelerate future deployments.
• Evaluate LLM providers based on capability, cost, and latency, and recommend optimal options for each use case.
• Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns, and coding standards.
• Write production‑grade Python with appropriate error handling, observability, CI/CD integration, and deployment automation.
• Partner closely with Data Scientists to understand models and create resilient, accurate agent interfaces.
• Contribute to technical documentation, architecture decision records, and operational runbooks.

Required Qualifications

• 5+ years of software engineering experience with strong Python skills.
• 2+ years of hands‑on experience working with LLMs (e.g., prompt engineering, RAG, function calling, agent frameworks).
• Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI, or similar).
• Strong system design skills, including API architecture and distributed systems.
• Experience with cloud platforms (Azure preferred) and container orchestration.
• Familiarity with vector databases, embeddings, and large‑scale RAG systems.
• Strong debugging, performance optimization, and problem‑solving skills.
• Effective collaboration skills for partnering with distributed teams across regions and time zones.

Preferred Qualifications

• Experience with Databricks and/or Genie.
• Background in media, advertising, or marketing technology.
• Experience with MLOps, model‑serving infrastructure, and production model lifecycle.
• Experience building conversational AI or copilot‑style products.
• Open‑source contributions related to agentic AI.